Pioneers, Submariners, or Thicket-builders: Which Firms Use Continuations in Patenting?

The continuations procedure within the U.S. patent system has been criticized for enabling firms to manipulate the patent review process for strategic purposes. Changes during the 1990s in patent procedures affected the incentives of applicants to exploit the continuations process, and additional reforms in continuations currently are being considered. Nonetheless, little is known about applicants' use of the three major types of continuations -- the Continuation Application (CAP), the Continuations-In-Part (CIP), and Divisions -- to alter the term and scope of patents. This paper analyzes patents issued from the three types of continuations to U.S. firms during 1981 - 2004 (with priority years 1981 - 2000), and links their frequency to the characteristics of patents, assignees and industries. We find that CIPs are disproportionately filed by R&D-intensive, small firms that patent heavily, and are more common in chemical and biological technologies. Patents resulting from CIP filings contain more claims and backward citations per patent on average, and cover relatively "valuable" inventions. In contrast, CAPs cover less valuable patents from large, capital-intensive firms that patent intensively, particularly in computer and semiconductor patents. We also analyze the effects of the 1995 change in patent term on continuation applications and find that the Act reduced the use of continuations overall, while shifting the output of CAPs toward "less important" patents.

Innovation and technology trajectories in a developing country context: evidence from a survey of Malaysian firms

This thesis investigates the relevance of currently used firm-level innovation concepts in a developing country context. I draw on the results of a comprehensive survey of manufacturing and service firms instrumented to assess the knowledge- capabilities of the economic sectors in Malaysia. The thesis presents a discussion of the extant literature on firm-level innovation and tests hypotheses regarding the impact of firms organizational structure, strategies, resources and environment as determinants of product, process and organizational innovations. These are examined from the classifying framework provided by Keith Pavitts model of technology trajectories to better understand the nature of innovation and its production determinants. I find that Malaysian firms -- across all sectors -- show a greater propensity to make process and organizational innovations as against product innovations. Soft factors like training, knowledge management practices and collaboration with market actors are used as significant inputs in their innovation process.M.S.Committee Chair: Shapira, Philip; Committee Member: Hicks, Diana; Committee Member: Lewis, Gregor

Public and Private Universities: Unequal Sources of Regional Innovation?

The definitive version of this article is available from http://edq.sagepub.com/Public universities occupy a unique place in the research and development system of the United States due to their state-controlled missions, sources of funding, and administrative structures. State governments support public university research, which benefits local industry and stimulates innovation-based economic development. This paper examines the geographic distribution of university patent citations over the years 1975 to 2000 to test if public university research spillovers are more likely to be localized at the state level as compared to those of private universities. I find little evidence in support of this hypothesis, but a positive association between the quality of academic research and localization of resulting spillovers. Public universities should emphasize research quality as a means of fulfilling their regional innovation commitments

Highly innovative small firms in the markets for technology

The definitive version of this article is available from: http://authors.elsevier.com/sd/article/S0048733305000740Long-lived small firms with a substantial, public record of innovative success are the focus of this paper. We label such firms "serial innovators" and argue that they are often specialist suppliers in markets for technology. To survive as specialist suppliers, firms must produce technology that is broadly tradable. Using Arora, Fosfuri and Gambardella's markets-for-technology framework, we hypothesize that such technology has certain characteristics. It is: high quality, general purpose, broadly based, quite basic, and concentrated in newer generations of technology. We find that serial innovators, survivors among the specialist technology suppliers, have mastered innovating in technology with these characteristics. This helps explain why these firms have become serious players in these markets—at least for a few years until a new generation of technology emerges

Tube-assisted Minimally Invasive versus Open Posterior Decompression for Multilevel Degenerative Cervical Myelopathy: A Prospective Comparative Study

Objective There have been several reports of minimally invasive decompression for cervical canal stenosis and degenerative myelopathy. Most of these reports are for less than 4 levels and there have not been any comparative studies between Open and MIS cervical decompression for multilevel (≥4) degenerative cervical myelopathy. Methods Twenty consecutive patients were allotted to undergo either ‘Open’ cervical laminectomy (n=10) or MIS posterior cervical decompression (n=10). All patients were evaluated for 1. Clinical, (JOA, MDI, NDI, Nurick grade, Blood loss, Duration of surgery); 2. Radiological (CSA of dural sac and Spinal cord, Muscle edema on post-op T2W MRI); 3. Laboratory (TLC, CRP, ESR, CPK) and 4. Physical (Isometric neck extensor muscle strength). Differences between Open and MIS groups were calculated with respect to above parameters. Results The mean number of levels decompressed was 4.4 (range, 4–6). MIS group had significantly longer duration of surgery and lesser blood loss as compared to open group. The patients in open group were more disabled than MIS group pre-operatively, as evidenced by higher MDI and NDI. However, proportionate improvements were seen in both groups post-operatively in terms of all clinical parameters. Postoperative increase in CSA of spinal cord was also identical in both groups. Elevations in CRP and ESR were significantly higher in Open group post-operatively as compared to MIS group. Post-operative extensor neck muscle strength improved to a higher extent in MIS group as compared to open group though this was not statistically significant. No patient had any major post-operative complications. Conclusion MIS posterior cervical decompression is safe and effective, can achieve similar extent of decompression and degree of clinical improvement as compared to open surgery. MIS has definite advantages of lesser blood loss, reduced tissue injury and better improvement in post-operative neck muscle strength as compared to open surgery

KG-Hub-building and exchanging biological knowledge graphs.

MOTIVATION: Knowledge graphs (KGs) are a powerful approach for integrating heterogeneous data and making inferences in biology and many other domains, but a coherent solution for constructing, exchanging, and facilitating the downstream use of KGs is lacking. RESULTS: Here we present KG-Hub, a platform that enables standardized construction, exchange, and reuse of KGs. Features include a simple, modular extract-transform-load pattern for producing graphs compliant with Biolink Model (a high-level data model for standardizing biological data), easy integration of any OBO (Open Biological and Biomedical Ontologies) ontology, cached downloads of upstream data sources, versioned and automatically updated builds with stable URLs, web-browsable storage of KG artifacts on cloud infrastructure, and easy reuse of transformed subgraphs across projects. Current KG-Hub projects span use cases including COVID-19 research, drug repurposing, microbial-environmental interactions, and rare disease research. KG-Hub is equipped with tooling to easily analyze and manipulate KGs. KG-Hub is also tightly integrated with graph machine learning (ML) tools which allow automated graph ML, including node embeddings and training of models for link prediction and node classification. AVAILABILITY AND IMPLEMENTATION: https://kghub.org